Results 231 to 240 of about 527,936 (311)

Modulating Two‐Photon Absorption in a Pyrene‐Based MOF Series: An In‐Depth Investigation of Structure–Property Relationships

Advanced Functional Materials, EarlyView.
This study investigates H4TBAPy‐based metal–organic frameworks (MOFs) ‐ NU‐1000, NU‐901, SrTBAPy, and BaTBAPy ‐ for multiphoton absorption (MPA) performance. It observes topology‐dependent variations in the 2PA cross‐section, with BaTBAPy exhibiting the highest activity.
Simon N. Deger, Helmy Pacheco Hernandez, Yang Cui, Hongxing Hao, Vanessa Ramm, David C. Mayer, Khai‐Nghi Truong, Roland A. Fischer, Jürgen Hauer, Mariana Kozlowska, Alexander Pöthig   +10 more
wiley   +1 more source

An automated parallel genetic algorithm with parametric adaptation for distributed data analysis. [PDF]

Sci Rep
Al-Terkawi L, Migliavacca M.
europepmc   +1 more source

Metal‐Organic Framework Embedded Electrospun Fibrous Membranes‐Based Hybrid Nanogenerators with Hierarchical Modified Polyamide Films for Mechanical Energy Harvesting and IoT Applications

Advanced Functional Materials, EarlyView.
Hybrid nanogenerator (HNG) based on a zinc‐metal‐organic framework‐loaded fibrous film integrated with a hierarchically modified nylon film having micropatterns and micropores is fabricated via an electrospinning technique, and its electrical properties are optimized. The HNGs are incorporated into wearable garments and automobile systems for practical
Sontyana Adonijah Graham, Anand Kurakula, Venkata Siva Kavarthapu, Jun Kyu Lee, Punnarao Manchi, Mandar Vasant Paranjape, Jae Su Yu   +6 more
wiley   +1 more source

Probing Early Particle‐Cell Membrane Interactions via Single‐Cell and Single‐Particle Interaction Analysis

Advanced Functional Materials, EarlyView.
The pre‐internalization phase of endocytosis remains poorly characterized at single‐cell levels. Single‐cell pre‐internalization mechanics are investigated using advanced robotic techniques. Cancer cells exhibit biphasic adhesion – rapid initial binding followed by reinforcement – while fibroblasts show gradual engagement.
Houari Bettahar, Christos Tapeinos, Oğulcan Işıtman, Carmine D'Amico, Alexandra Correia, Hélder A. Santos, Quan Zhou   +6 more
wiley   +1 more source

Voice recognition enhancement by genetic algorithm. [PDF]

Heliyon
Salhi MS, Alenezi AH.
europepmc   +1 more source

Rapid Diagnostics of Reconfigurable Intelligent Surfaces Using Space‐Time‐Coding Modulation

Advanced Functional Materials, EarlyView.
A fast reconfigurable‐intelligent‐surface (RIS) diagnostics method is proposed based on spatio‐temporal modulation with orthogonal codes. Theoretical analysis demonstrates a clear distinction in code channel power between normal and faulty elements. Simulations validate its feasibility under high fault ratios and varying receiving angles.
Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Tie Jun Cui, Vincenzo Galdi   +7 more
wiley   +1 more source

VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection. [PDF]

MethodsX
Kazi SS, Palkar B, Mishra D.
europepmc   +1 more source

Flexibility and Dynamicity Enhances and Controls Supramolecular Self‐Assembly of Zinc(II) Metallogels

Advanced Functional Materials, EarlyView.
Zinc(II) coordination complexes with tunable aryloxy‐imine ligands exhibit controllable supramolecular self‐assembly into hierarchical fibrous structures. Coordination‐driven stacking, not π–π interactions, enables gelation, dynamic assembly/disassembly, and enhanced nanomechanical properties.
Merlin R. Stühler, Hesam Makki, Dorothee Silbernagl, Mathias Dimde, Kai Ludwig, Bengt E. Tegner, Christopher Greve, Konstantin Rausch, Eva M. Herzig, Anna Köhler, Alex J. Plajer   +10 more
wiley   +1 more source

An integrated TOPSIS and ARAS method multi-criteria decision-making approach for optimizing investment portfolios using goal programming and genetic algorithm model. [PDF]

Sci Rep
Pisal P, Reddy KK, Kishore J, Jonnalagadda RR, Kumar M, Band G, Joshi BP.   +6 more
europepmc   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source